Job
Description
Role Overview: As a Climate Risk & Resilience Services professional at our company, you will be responsible for working on the development and application of technical workflows for analyzing environmental data. This will involve utilizing downscaled climate model output to create climate projections for various weather phenomena such as precipitation, temperature, and snow. Key Responsibilities: - Utilize tools and analysis methods to identify and address challenges in climate datasets - Support the quantitative analysis of exposure, vulnerability, risks, and resilience related to long-term climate change considerations - Prepare documentation summarizing methodologies and results for technical and lay audiences - Participate in multiple projects, ensuring effective coordination to deliver on project commitments - Contribute to a diverse team of experts to advance the Climate Risk & Resilience Services practice - Participate in quality control operations of climate analysis portions of projects and contribute to defining best practices - Contribute to research and development initiatives to innovate practices in climate change risk and resilience - Collaborate with all national business lines within the company, providing advisory services with a focus on climate science, climate risks, and adaptation planning Qualifications Required: - Undergraduate or graduate degree in data science, hydrology, meteorology, atmospheric science, climate science, environmental engineering, or a related field - Strong computer skills including programming skills (e.g., Python) and data management and processing skills related to model output - Proficiency in version control systems (e.g., Git, GitHub) for managing code and collaborating on projects - Experience working with tools and/or coding scripts for effective data processing, analysis, and visualization - Experience with high-performance computing (HPC) and parallel processing in cloud environments - Strong statistics background with experience in statistical methods for meteorological data infilling and trend analysis - Experience with climate change models and data portals, including statistical and dynamical downscaling - Preferably, experience with AI and machine learning Additionally, you are expected to possess attention to detail, a commitment to quality reviews, and checks for accuracy and excellence. Your ability to innovate on challenging topics, work independently, and collaborate on national and international levels will be highly valued in this role. An enjoyment of taking on new challenges for professional growth is essential. Please note that employment with our company is subject to the successful completion of a background verification (BGV) check conducted by a third-party agency appointed by us.,
